Microgrid energy optimization scheduling method based on adaptive control

Abstract

The invention relates to a microgrid energy optimization scheduling method based on adaptive control. The microgrid energy optimization scheduling method comprises the steps of S1, obtaining a randomlinear control system; S2, constructing an adaptive microgrid optimization scheduling model according to the random linear control system obtained in the step S1; S3, performing MPC optimal schedulingon the adaptive microgrid optimal scheduling model constructed in the step S2. The beneficial effects of the method are that: according to the microgrid energy optimization scheduling method based onadaptive control, under a combined optimization scheduling framework of a random energy and an energy storage system, an optimization strategy based on adaptive random model predictive control is provided; the method is compared with a robust model predictive control method based on scene construction, different self-adaptive updating strategies and comparison models of different adjusting parameters are designed, the scheduling performance of the system and the self-adaptability of the model can be effectively improved, and the conservative property of the system is reduced.

Description

technical field [0001] The invention belongs to the technical field of microgrids, and in particular relates to an adaptive control-based microgrid energy optimization scheduling method. Background technique [0002] Clean and low-carbon has become the development trend of global energy transformation. The energy revolution characterized by the deep integration of new energy and information technology is pushing human society into a new energy system. A series of problems such as source-load imbalance, as of the end of 2018, my country's solar and wind energy grid-connected installed capacity reached 360 million KW, accounting for 19% of the installed capacity, but the power generation accounted for only 7.8% of the total, and the problem of wind and solar abandonment is still serious. The proposal of the concept of Energy Internet has become a good solution to the above problems and the key to energy transformation. System, EIS) constructed organic cells. [0003] The micr...

AI Technical Summary

Problems solved by technology

Different from traditional power grids, the optimal scheduling of microgrids is affected by uncertain factors such as distributed power sources and energy storage systems, but there is currently a lack of scheduling strategies for microgrids in adaptive control environments

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